Literature DB >> 30762928

Bioinformatic analysis of Cacybp-associated proteins using human glioma databases.

Chengmin Xuan1, Yong Gao2, Mingwei Jin1, Shumei Xu1, Lei Wang1, Yuan Wang1, Rui Han1, Kunpeng Shi1, Xincheng Chen3, Qi An1.   

Abstract

The ubiquitin-proteasome system is the primary cellular pathway for protein degradation, mediating 80% of intracellular protein degradation. Because of the widespread presence of ubiquitin-modified protein substrates, ubiquitination can regulate a variety of cellular activities including cell proliferation, apoptosis, autophagy, endocytosis, DNA damage repair, and immune responses. With the continuous generation of genomics data in recent years it has become particularly important to analyze these data effectively and reasonably. Cacybp forms a complex with the E3 ubiquitinated ligase Siah1 to participate in ubiquitination. We analyzed Cacybp-associated genes using the Gene Expression Omnibus (GEO) and CGGA (Chinese Glioma Genome Atlas) databases and identified 121 differentially expressed genes (DEGs), of which 46 were downregulated and 75 were upregulated. The biological processes, molecular functions, and protein-protein interaction (PPI) network of differential genes were analyzed by Cytoscape software and STRING software. We found no difference in Cacybp expression among different grades of gliomas and there was no significant association between the expression level of Cacybp and the prognosis of patients with glioma in LGG and GBM.
© 2019 IUBMB Life, 1-8, 2019. © 2019 International Union of Biochemistry and Molecular Biology.

Entities:  

Keywords:  Cacybp; bioinformatics; differentially expressed gene; glioma; protein-protein interaction; ubiquitination

Mesh:

Substances:

Year:  2019        PMID: 30762928     DOI: 10.1002/iub.1999

Source DB:  PubMed          Journal:  IUBMB Life        ISSN: 1521-6543            Impact factor:   3.885


  3 in total

1.  PART1 and hsa-miR-429-Mediated SHCBP1 Expression Is an Independent Predictor of Poor Prognosis in Glioma Patients.

Authors:  Chengmin Xuan; Mingwei Jin; Lei Wang; Shengbai Xue; Qi An; Qingzeng Sun; Lei Wang; Yong Gao
Journal:  Biomed Res Int       Date:  2020-04-13       Impact factor: 3.411

2.  Computational Prediction of Antiangiogenesis Synergistic Mechanisms of Total Saponins of Panax japonicus Against Rheumatoid Arthritis.

Authors:  Xiang Guo; Jinyu Ji; Goutham Sanker Jose Kumar Sreena; Xiaoqiang Hou; Yanan Luo; Xianyun Fu; Zhigang Mei; Zhitao Feng
Journal:  Front Pharmacol       Date:  2020-10-29       Impact factor: 5.810

3.  H19- and hsa-miR-338-3p-mediated NRP1 expression is an independent predictor of poor prognosis in glioblastoma.

Authors:  Yong Liu; Yuelin Liu; Yong Gao; Lei Wang; Hengliang Shi; Chengmin Xuan
Journal:  PLoS One       Date:  2021-11-29       Impact factor: 3.240

  3 in total

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